Hello! My name is Tim, and I am a lead data science instructor with General Assembly in Washington, DC. I currently teach GA’s Data Science Immserive (DSI) course, in which students make full career pivots into data science. Our graduates transition from potentially knowing nothing of the field into serious job candidates that can hit the ground running in any data science role. Previously, I worked for Summit Consulting as a member of the data science team in their litigation directorate. My analyses, models, and visualizations have been used as evidence in billion-dollar court cases

I graduated from the Ohio State University’s Department of Statistics, receiving my MS in statistics. Before Ohio State, I received my Bachelor’s in mathematics and statistics from Penn State.

Language Skills

R, Python, C/C++, Scala, Stata, SQL, SAS

Typesetting/Reporting

LaTeX, (R)Markdown, Jupyter

Misc. Technical Specialties

AWS, Git, Docker, Bash scripting, the Python data science stack (numpy, pandas, scipy, sci-kit learn, nltk), Keras, RShiny, the tidyverse, ggplot2

Analytical Specialties

(Generalized) linear model theory, statistical machine learning, regularization techniques, robust methods, kernel methods, tree methods, smoothing methods, data visualization, sampling techniques, natural language processing (NLP)

What am I working on now?

Right now, I’m studying the C/C++ languages with the goal of using them to speed up the functionality of R (via Rccp) and Python (via Cython). I’m also currently reading Forecasting: Principles and Practice, by Hyndman and Athanasopous to sharpen my time series skills.